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Clairvoyance is a web application that uses a deep learning model to analyze win probabilities in League of Legends. Data is pulled from challengers players on the NA server. (300 players, 100 matches per player, duplicate matches are thrown out.
Each plugin consists of five files: info.xml - meta data about the plugin. Must match the information in edittime.js. A plugin is added to a C2 project by dropping the c2addon file on the project. This installs it underneath the Construct 2 install path, as in: C:\Program Files\Construct 2\exporters\html5\plugins\lol-questions.
Jan 16, 2024 · Compile Chromium with a custom RNG that returns a low value (less than 0.000001) 9/10 times, then defers to the normal LCG the rest of the time. You'll win most luck-based things (Arcade Balls, Gaming Plants, etc.). The mitigation I suggest doesn't defend against this, but using a secure RNG instead of Math.random would likely generate farier ...
Sep 1, 2021 · The paper describes two main ways of training the agent. The first method uses an LSTM model to clone the behaviour of human players whereas the second method uses a combination of PPO for training and an LSTM network for the policy network (PPO-LSTM). Both methods could achieve the set objective which was to achieve first blood against an in ...
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Dec 7, 2020 · Construct game development is supported by community-maintained Construct plugins that implement the LoL-supported Javascript API. Resources While Legends of Learning does not directly support Construct game development, the game developer community has created a Construct3 plugin that implements the LoL-supported Javascript API.
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Award-Winning, Game-Based Learning. Proven to Raise Test Scores. Over 2,000, curriculum-aligned, STEM games created to engage students, assist teachers & empower districts in class and at home. WestEd study shows playing Legends of Learning educational games at least twice per week significantly improves test scores!
